File Name: essential aspects of physical design and implementation of relational databases .zip
Database design ; Database materialization ; Database implementation ; Table design ; Table normalization ; Indexing ; Clustering ; Multidimensional clustering ; Range partitioning ; Materialized views ; Materialized query tables.
- Physical Database Design for Relational Databases
- basic concepts of database design
- Relational database concepts
Physical Database Design for Relational Databases
Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. Database design involves classifying data and identifying interrelationships.
This theoretical representation of the data is called an ontology. The ontology is the theory behind the database's design. In a majority of cases, a person who is doing the design of a database is a person with expertise in the area of database design, rather than expertise in the domain from which the data to be stored is drawn e. Therefore, the data to be stored in the database must be determined in cooperation with a person who does have expertise in that domain, and who is aware of what data must be stored within the system.
This process is one which is generally considered part of requirements analysis , and requires skill on the part of the database designer to elicit the needed information from those with the domain knowledge. This is because those with the necessary domain knowledge frequently cannot express clearly what their system requirements for the database are as they are unaccustomed to thinking in terms of the discrete data elements which must be stored.
Data to be stored can be determined by Requirement Specification. Once a database designer is aware of the data which is to be stored within the database, they must then determine where dependency is within the data. Sometimes when data is changed you can be changing other data that is not visible. For example, in a list of names and addresses, assuming a situation where multiple people can have the same address, but one person cannot have more than one address, the address is dependent upon the name.
When provided a name and the list the address can be uniquely determined; however, the inverse does not hold - when given an address and the list, a name cannot be uniquely determined because multiple people can reside at an address. Because an address is determined by a name, an address is considered dependent on a name.
NOTE: A common misconception is that the relational model is so called because of the stating of relationships between data elements therein. This is not true. The relational model is so named because it is based upon the mathematical structures known as relations. Once the relationships and dependencies amongst the various pieces of information have been determined, it is possible to arrange the data into a logical structure which can then be mapped into the storage objects supported by the database management system.
In the case of relational databases the storage objects are tables which store data in rows and columns. In an Object database the storage objects correspond directly to the objects used by the Object-oriented programming language used to write the applications that will manage and access the data. The relationships may be defined as attributes of the object classes involved or as methods that operate on the object classes.
The way this mapping is generally performed is such that each set of related data which depends upon a single object, whether real or abstract, is placed in a table. Relationships between these dependent objects is then stored as links between the various objects. Each table may represent an implementation of either a logical object or a relationship joining one or more instances of one or more logical objects.
Relationships between tables may then be stored as links connecting child tables with parents. Since complex logical relationships are themselves tables they will probably have links to more than one parent. Database designs also include ER entity-relationship model diagrams.
An ER diagram is a diagram that helps to design databases in an efficient way. Attributes in ER diagrams are usually modeled as an oval with the name of the attribute, linked to the entity or relationship that contains the attribute. In the field of relational database design, normalization is a systematic way of ensuring that a database structure is suitable for general-purpose querying and free of certain undesirable characteristics—insertion, update, and deletion anomalies that could lead to loss of data integrity.
A standard piece of database design guidance is that the designer should create a fully normalized design; selective denormalization can subsequently be performed, but only for performance reasons.
The trade-off is storage space vs performance. The more normalized the design is, the less data redundancy there is and therefore, it takes up less space to store , however, common data retrieval patterns may now need complex joins, merges, and sorts to occur - which takes up more data read, and compute cycles.
Some modeling disciplines, such as the dimensional modeling approach to data warehouse design, explicitly recommend non-normalized designs, i. Document databases take a different approach. A document that is stored in such a database, typically would contain more than one normalized data unit and often the relationships between the units as well. If all the data units and the relationships in question are often retrieved together, then this approach optimizes the number of retrieves.
It also simplifies how data gets replicated, because now there is a clearly identifiable unit of data whose consistency is self-contained. Another consideration is that reading and writing a single document in such databases will require a single transaction - which can be an important consideration in a Microservices architecture.
In such situations, often, portions of the document are retrieved from other services via an API and stored locally for efficiency reasons. If the data units were to be split out across the services, then a read or write to support a service consumer might require more than one service calls, and this could result in management of multiple transactions, which may not be preferred. The physical design of the database specifies the physical configuration of the database on the storage media.
This includes detailed specification of data elements , data types , indexing options and other parameters residing in the DBMS data dictionary. Some aspects that are addressed at the physical layer:. At the application level, other aspects of the physical design can include the need to define stored procedures, or materialized query views, OLAP cubes, etc.
From Wikipedia, the free encyclopedia. Main article: Logical schema. Main article: Database normalization. Main article: Conceptual schema. Main article: Physical schema. Database Design: Know it all. Burlington, MA. Database design basics. Data definition Data manipulation Query information retrieval. Activity monitoring Audit Forensics Negative database.
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basic concepts of database design
This publication examines data-centric system threat modeling, which is threat modeling that is focused on protecting particular types of data within systems. The publication provides information on the basics of b Make a relational data model for micro loans: Describe at least two of the relations using SQL DDL make reasonable assumptions about data types , and state the relation schemas for the other relations. The emphasis is if there is a correlation between the relational model and the E-R diagram Data, Information, Knowledge, and Wisdom. There is probably no segment of activity in the world attracting as much attention at present as that of knowledge management. The database management system DBMS , on the other hand is the software or tool that is used to manage the database and its users. It means if different systems of an organization are using some common data then rather than storing it once and sharing it, each system stores data in separate files. Semantic data is very promising for the enterprise world.
Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. Database design involves classifying data and identifying interrelationships. This theoretical representation of the data is called an ontology.
Relational database concepts
As of today we have 77,, eBooks for you to download for free. No annoying ads, no download limits , enjoy it and don't forget to bookmark and share the love! Database Systems Design Implementation Management, 10th ed. Can't find what you're looking for? Try pdfdrive:hope to request a book.
A properly designed database provides you with access to up-to-date, accurate information. Because a correct design is essential to achieving your goals in working with a database, investing the time required to learn the principles of good design makes sense. In the end, you are much more likely to end up with a database that meets your needs and can easily accommodate change. This article provides guidelines for planning a desktop database. You will learn how to decide what information you need, how to divide that information into the appropriate tables and columns, and how those tables relate to each other.
Attribution CC BY. This book is quite comprehensive in its coverage of key topic areas expected to be covered in an introductory database course at the undergraduate bachelor's degree level. The authors should also consider including an introduction to star schema
Primary and foreign keys
Relational database systems underpin the majority of the managed data storage in computer systems. This course presents an overview of the development life cycle for a database system and highlights how the database development differs from traditional software development. In this course we look at an outline of the stages involved in the development of a database. We consider the broader issue of how to decide what should be in a database and how to structure the tables that should be included. Our aim is to give you a basic development method so that you can see how a basic database system is developed.
System design is the phase that bridges the gap between problem domain and the existing system in a manageable way. This phase focuses on the solution domain, i. It is the phase where the SRS document is converted into a format that can be implemented and decides how the system will operate. In this phase, the complex activity of system development is divided into several smaller sub-activities, which coordinate with each other to achieve the main objective of system development. Proposed system requirements including a conceptual data model, modified DFDs, and Metadata data about data. Logical design pertains to an abstract representation of the data flow, inputs, and outputs of the system.
Database tables Within a database, there are one or many object ownership groups called schemas. Select allows you to choose a specific range of data. Here are the ten worst mistakes The database management system DBMS is the software that interacts with end users, applications, and the database itself to capture and analyze the data. Database management system — a program such as Access, that stores, retrieves, arranges, and formats information contained in a database. Determine which of these objects should be tables and which should be columns within those tables.
If you are not required to use this edition for a course, you may want to check it out. You have already been introduced to the first two components of information systems: hardware and software. However, those two components by themselves do not make a computer useful.